Accelerated Computing Solutions Analyst - Early Career

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Technology and Solutions Architecture team is innovating at the intersection of hardware and software— Building co-optimized solutions for the most demanding AI data center challenges, reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure, and shaping open standards.. We are seeking an innovative AI Solutions Analyst to research, explore, and build co-optimized fabric-attached, shared, disaggregated, and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads. You will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory, storage, networking, and security domains. What You Can Expect Develop Next-Gen Solutions: Partner with hardware and software architects, technologists, and IC engineering teams to develop scalable, high-performance, cutting-edge AI/ML infrastructure. Foster Innovation: Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures, networking, storage, and security domains, focusing on emerging technologies such as CXL, UAL, UEC, low-latency transport protocols, and Post-Quantum Cryptography. Architect and Execute: Lead system architectural design and implement proof-of-concept solutions for diverse workloads, optimizing execution across distributed, heterogeneous memory, compute, and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs. Represent in Standards Bodies: Advocate Marvell’s leadership in industry standards bodies and working groups, shaping new standards and emerging technologies aligned with Marvell's strategic interests. Analyze Performance: Conduct advanced characterization and performance analysis of complex workloads, monitoring critical metrics such as response time, latency, and resource utilization. Build Simulation Environments: Create and refine simulation environments for large-scale setups and configurations, especially in the AI/ML domain. Document and Visualize Insights: Develop comprehensive documentation and data visualizations to support analysis and insights, leveraging tools like Python and related libraries. Stay at the Forefront: Keep abreast of the latest developments in generative AI and hardware data analysis, and propose innovative approaches to enhance device tuning and interoperability performance. What We're Looking For PhD or Master's degree in computer science and engineering, electrical engineering, or related field HW/SW co-design experience with proven expertise with GPUs, DPUs, FPGAs, or custom hardware accelerators Processor micro-architectures (preferably ARM), scalar and vector processing pipelines, techniques to optimize memory bound applications Deep understanding of memory or storage subsystems, disaggregated memory for accelerators, cluster level shared memory approaches, NVMeoF Familiarity with coherent / non-coherent interconnects, like CXL, UAL, NVLink, and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL Proficiency in performance benchmarking of AI data processing workloads, system profiling and analyzing end-to-end flows Experience with simulators & modeling, GPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads Expected Base Pay Range (USD) 94,160 - 141,000, $ per annum The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at . Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-SC1